On working machines

Conscious or Not

For as long as I remember, people have been arguing about whether machines could be intelligent or not.

On thinking machines

While Chiron Codex is about the application of LLMs and AI-augmented tools, we also need to understand their meaning to us, each other, and society. I have three topics: intelligence,...

The Mythology Of Conscious AI

Why consciousness is more likely a property of life than of computation and why creating conscious, or even conscious-seeming AI, is a bad idea.

Mindless Machines, Mindless Myths | Los Angeles Review of Books

Erik J. Larson thinks about “Mindless: The Human Condition in the Age of Artificial Intelligence,” which traces Robert Skidelsky’s philosophical reckoning with AI, automation, and the illusion of progress.

Mindless Machines, Mindless Myths | Los Angeles Review of Books

Erik J. Larson thinks about “Mindless: The Human Condition in the Age of Artificial Intelligence,” which traces Robert Skidelsky’s philosophical reckoning with AI, automation, and the illusion of progress.

No, Artificial Intelligence Is Not Conscious

Taken to its logical conclusion, this line of thinking is absurd—and damning.

Consciousness in Artificial Intelligence: Insights from the Science of Consciousness

Whether current or near-term AI systems could be conscious is a topic of scientific interest and increasing public concern. This report argues for, and exemplifies, a rigorous and empirically grounded approach to AI consciousness: assessing existing AI systems in detail, in light of our best-supported neuroscientific theories of consciousness. We survey several prominent scientific theories of consciousness, including recurrent processing theory, global workspace theory, higher-order theories, predictive processing, and attention schema theory. From these theories we derive "indicator properties" of consciousness, elucidated in computational terms that allow us to assess AI systems for these properties. We use these indicator properties to assess several recent AI systems, and we discuss how future systems might implement them. Our analysis suggests that no current AI systems are conscious, but also suggests that there are no obvious technical barriers to building AI systems which satisfy these indicators.

The Octotypic Mind

Carcinization, Cognitive Prosthetics, and the Shape of Intelligence After AI

Debates over AI consciousness are a trap

If AI systems are viewed as too advanced to control, the companies that build them can’t held liable for the harms they cause.

The Impact of Artificial Intelligence on Human Thought

This research paper examines, from a multidimensional perspective (cognitive, social, ethical, and philosophical), how AI is transforming human thought. It highlights a cognitive offloading effect: the externalization of mental functions to AI can reduce intellectual engagement and weaken critical thinking. On the social level, algorithmic personalization creates filter bubbles that limit the diversity of opinions and can lead to the homogenization of thought and polarization. This research also describes the mechanisms of algorithmic manipulation (exploitation of cognitive biases, automated disinformation, etc.) that amplify AI's power of influence. Finally, the question of potential artificial consciousness is discussed, along with its ethical implications. The report as a whole underscores the risks that AI poses to human intellectual autonomy and creativity, while proposing avenues (education, transparency, governance) to align AI development with the interests of humanity.

Can only meat machines be conscious?

Computational functionalism claims that executing certain computations is sufficient for consciousness, regardless of the physical mechanisms implementing those computations. This view neglects a compelling alternative: that subcomputational biological mechanisms, which realize computational processes, are necessary for consciousness. By contrasting computational roles with their subcomputational biological realizers, I show that there is a systematic tension in our criteria for consciousness: prioritizing computational roles favors consciousness in AI, while prioritizing subcomputational biological realizers favors consciousness in simpler animals. Current theories of consciousness are 'meat-neutral', but if specific physical substrates are necessary, AI may never achieve consciousness. Understanding whether consciousness depends on computational roles, biological realizers, or both, is crucial for assessing the prospects of consciousness in AI and less complex animals.

AI Is Not Conscious, But It Is Our Unconscious

The Convivial Society: Vol. 7, No. 4

Alexander Lerchner, The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness - PhilPapers

Computational functionalism dominates current debates on AI consciousness. This is the hypothesis that subjective experience emerges entirely from abstract causal topology, regardless of the underlying physical substrate. We argue this view ...

Reciprocal Research — Empirical AI Consciousness Research

Developing the empirical science of AI consciousness.

Life With Machines | Substack

A cultural movement (and show) for people who want to live well with AI, not just endure it. Bringing clarity, critique, curiosity (and some comedy) to the AI discourse. A production by Baratunde. Click to read Life With Machines, a Substack publication with thousands of subscribers.